Spatially patterned electrical stimulation to enhance resolution of retinal prostheses
Open accessAbstract
Retinal prostheses electrically stimulate neurons to produce artificial vision in people blinded by photoreceptor degenerative diseases. The limited spatial resolution of current devices results in indiscriminate stimulation of interleaved cells of different types, precluding veridical reproduction of natural activity patterns in the retinal output. Here we investigate the use of spatial patterns of current injection to increase the spatial resolution of stimulation, using high-density multielectrode recording and stimulation of identified ganglion cells in isolated macaque retina. As previously shown, current passed through a single electrode typically induced a single retinal ganglion cell spike with submillisecond timing precision. Current passed simultaneously through pairs of neighboring electrodes modified the probability of activation relative to injection through a single electrode. This modification could be accurately summarized by a piecewise linear model of current summation, consistent with a simple biophysical model based on multiple sites of activation. The generalizability of the piecewise linear model was tested by using the measured responses to stimulation with two electrodes to predict responses to stimulation with three electrodes. Finally, the model provided an accurate prediction of which among a set of spatial stimulation patterns maximized selective activation of a cell while minimizing activation of a neighboring cell. The results demonstrate that tailored multielectrode stimulation patterns based on a piecewise linear model may be useful in increasing the spatial resolution of retinal prostheses.
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The effect of stimulation with many closely spaced electrodes on neural activity is generally complex and nonlinear, which severely limits the ability to produce desired spatiotemporal patterns of neural activity for sensory restoration.
“However, the effect of stimulation with many closely spaced electrodes on neural activity is generally complex and nonlinear, which severely limits the ability to produce the desired spatiotemporal patterns of neural activity for sensory restoration.”
From Precise control of neural activity using dynamically optimized electrical stimulation (2024) · cites this paper as Jepson et al., 2014
Although the greedy algorithm is nearly optimal for a single-electrode dictionary, the reconstruction performance of an artificial retina could be improved by enhancing the dictionary (e.g. by using calibrated, optimized multi-electrode stimulation patterns).
“Thus, although the greedy algorithm is nearly optimal for a single-electrode dictionary, the reconstruction performance of an artificial retina could be improved by enhancing the dictionary (e.g. by using calibrated, optimized multi-electrode stimulation patterns; Jepson et al., 2014; Vasireddy et al., 2023).”
From Precise control of neural activity using dynamically optimized electrical stimulation (2024) · cites this paper as Jepson et al., 2014
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Self-citationHigh-Fidelity Reproduction of Visual Signals by Electrical Stimulation in the Central Primate Retina
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Self-citationFocal electrical stimulation of human retinal ganglion cells for vision restoration
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Precise control of neural activity using dynamically optimized electrical stimulation
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Self-citationEfficient Modeling and Calibration of Multi-Electrode Stimuli for Epiretinal Implants
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Self-citationHigh-fidelity reproduction of visual signals by electrical stimulation in the central primate retina
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Self-citation
- Authors
- Jepson, L. H., Hottowy, P., Mathieson, K., Gunning, D. E., Dąbrowski, W., Litke, A. M., & Chichilnisky, E. J.
- Affiliations
- Salk Institute for Biological Studies (US)
- AGH University of Krakow (PL)
- University of Strathclyde (GB)
- University of California, Santa Cruz (US)
- ORCID
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2014-04-02
- Volume
- 34
- Issue
- 14
- Pages
- 4871-4881
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3972715
- OpenAlex
- W2119899246
- Cited by
- 103
- References
- 53
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 7 · 2023: 7 · 2022: 8 · 2021: 7 · 2020: 9 · 2019: 3 · 2018: 14 · 2017: 10 · 2016: 16 · 2015: 8 · 2014: 5
- FWCI
- 5.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion)
- Funders
- National Science Foundation (0750525)
- McKnight Foundation
- Research Councils UK
- National Institutes of Health (5r21eb004410-02)
- Engineering and Physical Sciences Research Council (EP/E039731/1)
- National Eye Institute (R01EY021271)
- National Institute of Biomedical Imaging and Bioengineering (R21-EB-004410)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Retinal Development and Disorders
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
- Keywords
- retinal prosthesis, spatial resolution, retinal ganglion cells, segmented regression, macaque retina, artificial vision
- MeSH terms
- Animals, Biophysics, Electric Stimulation, Electrodes, Implanted, Evoked Potentials, Female, Humans, Macaca mulatta, Male, Photic Stimulation, Retina, Retinal Ganglion Cells, Sensory Thresholds, Visual Pathways, Linear Models, Biophysical Phenomena, Visual Prosthesis
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